bbf.h
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29 
30 #ifndef PLANNER_CSPACE_BBF_H
31 #define PLANNER_CSPACE_BBF_H
32 
33 namespace bbf
34 {
35 constexpr float oddsToProbability(const float& o)
36 {
37  return o / (1.0 + o);
38 }
39 
40 constexpr float probabilityToOdds(const float& p)
41 {
42  return p / (1.0 - p);
43 }
44 
45 const float MIN_PROBABILITY = 0.1;
46 const float MAX_PROBABILITY = 1.0 - MIN_PROBABILITY;
47 const float MIN_ODDS = probabilityToOdds(MIN_PROBABILITY);
48 const float MAX_ODDS = probabilityToOdds(MAX_PROBABILITY);
49 
51 {
52 protected:
53  float odds_;
54 
55 public:
57  const float& initial_odds = 1.0) noexcept
58  : odds_(initial_odds)
59  {
60  }
61  float update(const float& odds)
62  {
63  odds_ *= odds;
64  if (odds_ < MIN_ODDS)
65  odds_ = MIN_ODDS;
66  else if (odds_ > MAX_ODDS)
67  odds_ = MAX_ODDS;
68  return odds_;
69  }
70  float get() const
71  {
72  return odds_;
73  }
74  float getProbability() const
75  {
76  return oddsToProbability(odds_);
77  }
79  {
80  return (getProbability() - MIN_PROBABILITY) / (MAX_PROBABILITY - MIN_PROBABILITY);
81  }
82 };
83 }; // namespace bbf
84 
85 #endif // PLANNER_CSPACE_BBF_H
const float MAX_PROBABILITY
Definition: bbf.h:46
float update(const float &odds)
Definition: bbf.h:61
const float MIN_PROBABILITY
Definition: bbf.h:45
BinaryBayesFilter(const float &initial_odds=1.0) noexcept
Definition: bbf.h:56
constexpr float probabilityToOdds(const float &p)
Definition: bbf.h:40
float getNormalizedProbability() const
Definition: bbf.h:78
const float MIN_ODDS
Definition: bbf.h:47
const float MAX_ODDS
Definition: bbf.h:48
Definition: bbf.h:33
float getProbability() const
Definition: bbf.h:74
constexpr float oddsToProbability(const float &o)
Definition: bbf.h:35


planner_cspace
Author(s): Atsushi Watanabe
autogenerated on Tue Jul 9 2019 05:00:13